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ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

CVPR 2020 · Vision-language and multimodal › Robot action and navigation · approach: Embodied multimodal LLM agents · 533 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add progress and sub-goal prediction lossesSeq2Seq on ALFRED · ALFRED test seenTask success: 2.1 -> 4.0Helped
Add progress and sub-goal prediction lossesSeq2Seq on ALFRED · ALFRED test unseenTask success: 0.5 -> 0.4Hurt
Add progress and sub-goal prediction lossesSeq2Seq on ALFRED · ALFRED test seenGoal-condition success: 7.4 -> 9.4Helped
Add progress and sub-goal prediction lossesSeq2Seq on ALFRED · ALFRED test unseenGoal-condition success: 7.1 -> 7.0Hurt
Add progress and sub-goal prediction lossesSeq2Seq on ALFRED · ALFRED validation seenPath-weighted sub-goal success (average): 67 -> 68Helped
Add progress and sub-goal prediction lossesSeq2Seq on ALFRED · ALFRED validation unseenPath-weighted sub-goal success (average): 45 -> 46Helped
Use only low-level instructions, without the high-level goal (ablation)Seq2Seq on ALFRED · ALFRED test seenTask success: 2.1 -> 2.7Helped
Use only low-level instructions, without the high-level goal (ablation)Seq2Seq on ALFRED · ALFRED test unseenTask success: 0.5 -> 0.5No clear effect
Remove language input (ablation)Seq2Seq on ALFRED · ALFRED test seenTask success: 2.1 -> 0.2Hurt
Remove visual input (ablation)Seq2Seq on ALFRED · ALFRED test seenTask success: 2.1 -> 0.0Hurt
Use only the high-level goal, without step-by-step instructions (ablation)Seq2Seq on ALFRED · ALFRED validation seenTask success: 2.4 -> 0.1Hurt
Add only the progress prediction loss (ablation)Seq2Seq on ALFRED · ALFRED validation seenTask success: 2.4 -> 2.1No clear effect

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